Logo
Empowering weather and climate forecast
#YearPublicationDownload
1 2021 Chantry, M. et al.: "Machine Learning Emulation of Gravity Wave Drag in Numerical Weather Forecasting". Journal of Advances in Modeling Earth Systems, 13, e2021MS002477. https://doi.org/10.1029/2021MS002477
Download PDF
2 2021 Sonnewald, et al.: "Bridging observations, theory and numerical simulation of the ocean using machine learning". Environ. Res. Lett. 16 073008
Download PDF
3 2021 Hatfield, et al.: "Building Tangent-Linear and Adjoint Models for Data Assimilation With Neural Networks". Journal of Advances in Modeling Earth Systems, 13, e2021MS002521
Download PDF
4 2021 Agarwal et al.: "A Comparison of Data-Driven Approaches to Build Low-Dimensional Ocean Models". Journal of Advances in Modeling Earth Systems, 13, e2021MS002537
Download PDF
5 2021 Kloewer et al.: "Compressing atmospheric data into its real information content". Nat Comput Sci 1, 713–724 (2021). https://doi.org/10.1038/s43588-021-00156-2
Download PDF
6 2022 Rausch, Ben-Nun et al.: "A Data-centric Optimization Framework for Machine Learning". Proceedings of the 36th ACM International Conference on Supercomputing Download PDF
Download PDF
7 2022 Gong B, Langguth M, Ji Y, Mozaffari A, Stadtler S, Mache K, Schultz MG.: "Temperature forecasting by deep learning methods". EGU Geoscientific Model Development
Download PDF
8 2022 Dueben et al.: "Benchmark Datasets for Machine Learning in the Atmospheric Sciences: Definition, Status, and Outlook". Artificial Intelligence for the Earth Systems, 1(3), e210002. Retrieved Sep 1, 2022
Download PDF
9 2022 Ashkboos et al.: "ENS-10: A Dataset For Post-Processing Ensemble Weather Forecast". arXiv preprint arXiv:2206.14786
Download PDF
10 2022 David Meyer et al.: "Machine learning emulation of urban land surface processes". Journal of Advances in Modeling Earth Systems, 14, e2021MS002744
Download PDF
11 2022 David Meyer et al.: "Machine Learning Emulation of 3D Cloud Radiative Effects". Journal of Advances in Modeling Earth Systems, 14, e2021MS002550
Download PDF
12 2022 Patrick Laloyaux et al.: "Deep learning to estimate model biases in an operational NWP assimilation system". Journal of Advances in Modeling Earth Systems, 14, e2022MS003016
Download PDF
13 2022 Lorenzo Pacchiardi et al.: "Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization". arXiv preprint arXiv:2112.08217
Download PDF